Rationale: Electronic noses are successfully used in commercial applications, including detection and analysis of volatile organic compounds in the food industry. Objectives: We hypothesized that the electronic nose could identify and discriminate between lung diseases, especially bronchogenic carcinoma. Methods: In a discovery and training phase, exhaled breath of 14 individuals with bronchogenic carcinoma and 45 healthy control subjects or control subjects without cancer was analyzed. Principal components and canonic discriminant analysis of the sensor data was used to determine whether exhaled gases could discriminate between cancer and noncancer. Discrimination between classes was performed using Mahalanobis distance. Support vector machine analysis was used to create and apply a cancer prediction model prospectively in a separate group of 76 individuals, 14 with and 62 without cancer. Main Results: Principal components and canonic discriminant analysis demonstrated discrimination between samples from patients with lung cancer and those from other groups. In the validation study, the electronic nose had 71.4% sensitivity and 91.9% specificity for detecting lung cancer; positive and negative predictive values were 66.6 and 93.4%, respectively. In this population with a lung cancer prevalence of 18%, positive and negative predictive values were 66.6 and 94.5%, respectively. Conclusion: The exhaled breath of patients with lung cancer has distinct characteristics that can be identified with an electronic nose. The results provide feasibility to the concept of using the electronic nose for managing and detecting lung cancer.

Background: The pattern of volatile organic compounds (VOCs) in the exhaled breath of patients with lung cancer may be unique. New sensor systems that detect patterns of VOCs have been developed. One of these sensor systems, a colorimetric sensor array, has 36 spots composed of different chemically sensitive compounds impregnated on a disposable cartridge. The colours of these spots change based on the chemicals with which they come into contact. In this proof of principle study, the ability of this sensor system to detect a pattern of VOCs unique to lung cancer is assessed. Methods: Individuals with lung cancer, those with other lung diseases and healthy controls performed tidal breathing of room air for 12 min while exhaling into a device designed to draw their breath across a colorimetric sensor array. The colour changes that occurred for each individual were converted into a numerical vector. The vectors were analysed statistically, using a random forests technique, to determine whether lung cancer could be predicted from the responses of the sensor. Results: 143 individuals participated in the study: 49 with non-small cell lung cancer, 18 with chronic obstructive pulmonary disease 15 with idiopathic pulmonary fibrosis 20 with pulmonary arterial hypertension 20 with sarcoidosis and 21 controls. A prediction model was developed using observations from 70% of the subjects. This model was able to predict the presence of lung cancer in the remaining 30% of subjects with a sensitivity of 73.3% and a specificity of 72.4% (p = 0.01). Conclusions: The unique chemical signature of the breath of patients with lung cancer can be detected with moderate accuracy by a colorimetric sensor array.

In this study, we show that oxygen regulates nitric oxide (NO) levels through effects on NO synthase (NOS) enzyme kinetics. Initially, NO synthesis in the static lung was measured in bronchiolar gases during an expiratory breath-hold in normal individuals. NO accumulated exponentially to a plateau, indicating balance between NO production and consumption in the lung. Detection of NO2-, NO3-, and S-nitrosothiols in lung epithelial lining fluids confirmed NO consumption by chemical reactions in the lung. Interestingly, alveolar gas NO (estimated from bronchiolar gases at end-expiration) was near zero, suggesting NO in exhaled gases is not derived from circulatory/systemic sources. Dynamic NO levels during tidal breathing in different airway regions (mouth, trachea, bronchus, and bronchiole) were similar. However, in individuals breathing varying levels of inspired oxygen, dynamic NO levels were notably dependent on O2 concentration in the hypoxic range (KmO2 190 microM). Purified NOS type II enzyme activity in vitro was similarly dependent on molecular oxygen levels (KmO2 135 microM), revealing a means by which oxygen concentration affects NO levels in vivo. Based upon these results, we propose that NOS II is a mediator of the vascular response to oxygen in the lung, because its KmO2 allows generation of NO in proportion to the inspired oxygen concentration throughout the physiologic range.

Primary pulmonary hypertension (PPH) is a rare and fatal disease of unknown etiology. Inflammatory oxidant mechanisms and deficiency in nitric oxide (NO) have been implicated in the pathogenesis of pulmonary hypertension. In order to investigate abnormalities in oxidants and antioxidants in PPH, we studied intrapulmonary NO levels, biochemical reaction products of NO, and antioxidants (glutathione [GSH], glutathione peroxidase [GPx], and superoxide dismutase [SOD]) in patients with PPH (n = 8) and healthy controls (n = 8). Intrapulmonary gases and fluids were sampled at bronchoscopy. Pulmonary hypertension was determined by right-heart catheterization. NO and biochemical reaction products of NO in the lung were decreased in PPH patients in comparison with healthy controls (NO [ppb] in airway gases: control, 8 +/- 1; PPH, 2.8 +/- 0. 9; p = 0.016; and NO products [microM] in bronchoalveolar lavage fluid [BALF]: control, 3.3 +/- 1.05; PPH, 0.69 +/- 0.21; p = 0.03). However, GSH in the lungs of PPH patients was higher than in those of controls (GSH [microM] in BALF: 0.55 +/- 0.04; PPH, 0.9 +/- 0.1; p = 0.015). SOD and GPx activities were similar in the two groups (p >/= 0.50). Biochemical reaction products of NO were inversely correlated with pulmonary artery pressures (R = -0.713; p = 0.047) and with years since diagnosis of PPH (R = -0.776; p = 0.023). NO reaction products are formed through interactions between oxidants and NO, with the end products of reaction dependent upon the relative levels of the two types of molecules. The findings of the study therefore show that NO and oxidant reactions in the lung are related to the increased pulmonary artery pressures in PPH.

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